Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

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Publisher ‏ : ‎ O’Reilly Media; 1st edition (October 29, 2019)
Language ‏ : ‎ English
Paperback ‏ : ‎ 217 pages
ISBN-10 ‏ : ‎ 1492045357
ISBN-13 ‏ : ‎ 978-1492045359
Item Weight ‏ : ‎ 2.31 pounds
Dimensions ‏ : ‎ 7 x 0.5 x 9 inches

Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

PyTorch has become one of the most popular frameworks for deep learning due to its flexibility, ease of use, and powerful capabilities. In this post, we will explore how to program with PyTorch to create and deploy deep learning applications.

First, we will cover the basics of PyTorch, including tensors, neural networks, and optimization techniques. We will then dive into creating a deep learning model using PyTorch and training it on a dataset. We will discuss best practices for designing and training deep learning models, as well as how to evaluate their performance.

Next, we will explore how to deploy deep learning applications using PyTorch. We will discuss techniques for optimizing models for deployment, including quantization and model compression. We will also cover how to deploy PyTorch models on different platforms, such as mobile devices or the cloud.

Overall, this post will provide you with a comprehensive overview of programming with PyTorch for deep learning, from creating models to deploying them in production. Whether you are a beginner or an experienced deep learning practitioner, this post will help you take your skills to the next level.
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